Package onnx

Class Onnx.ModelProto.Builder

  • All Implemented Interfaces:
    Cloneable, Onnx.ModelProtoOrBuilder, org.nd4j.shade.protobuf.Message.Builder, org.nd4j.shade.protobuf.MessageLite.Builder, org.nd4j.shade.protobuf.MessageLiteOrBuilder, org.nd4j.shade.protobuf.MessageOrBuilder
    Enclosing class:
    Onnx.ModelProto
    public static final class Onnx.ModelProto.Builder
extends org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>
implements Onnx.ModelProtoOrBuilder
     Models
 ModelProto is a top-level file/container format for bundling a ML model and
 associating its computation graph with metadata.
 The semantics of the model are described by the associated GraphProto's.
    Protobuf type onnx.ModelProto

    • Method Detail

      • getDescriptor

        public static final org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptor()

      • internalGetFieldAccessorTable

        protected org.nd4j.shade.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
        Specified by:
        internalGetFieldAccessorTable in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>

      • clear

        public Onnx.ModelProto.Builder clear()
        Specified by:
        clear in interface org.nd4j.shade.protobuf.Message.Builder
        Specified by:
        clear in interface org.nd4j.shade.protobuf.MessageLite.Builder
        Overrides:
        clear in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>

      • getDescriptorForType

        public org.nd4j.shade.protobuf.Descriptors.Descriptor getDescriptorForType()
        Specified by:
        getDescriptorForType in interface org.nd4j.shade.protobuf.Message.Builder
        Specified by:
        getDescriptorForType in interface org.nd4j.shade.protobuf.MessageOrBuilder
        Overrides:
        getDescriptorForType in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>

      • getDefaultInstanceForType

        public Onnx.ModelProto getDefaultInstanceForType()
        Specified by:
        getDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageLiteOrBuilder
        Specified by:
        getDefaultInstanceForType in interface org.nd4j.shade.protobuf.MessageOrBuilder

      • build

        public Onnx.ModelProto build()
        Specified by:
        build in interface org.nd4j.shade.protobuf.Message.Builder
        Specified by:
        build in interface org.nd4j.shade.protobuf.MessageLite.Builder

      • buildPartial

        public Onnx.ModelProto buildPartial()
        Specified by:
        buildPartial in interface org.nd4j.shade.protobuf.Message.Builder
        Specified by:
        buildPartial in interface org.nd4j.shade.protobuf.MessageLite.Builder

      • clone

        public Onnx.ModelProto.Builder clone()
        Specified by:
        clone in interface org.nd4j.shade.protobuf.Message.Builder
        Specified by:
        clone in interface org.nd4j.shade.protobuf.MessageLite.Builder
        Overrides:
        clone in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>

      • setField

        public Onnx.ModelProto.Builder setField​(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
                                        Object value)
        Specified by:
        setField in interface org.nd4j.shade.protobuf.Message.Builder
        Overrides:
        setField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>

      • clearField

        public Onnx.ModelProto.Builder clearField​(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field)
        Specified by:
        clearField in interface org.nd4j.shade.protobuf.Message.Builder
        Overrides:
        clearField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>

      • clearOneof

        public Onnx.ModelProto.Builder clearOneof​(org.nd4j.shade.protobuf.Descriptors.OneofDescriptor oneof)
        Specified by:
        clearOneof in interface org.nd4j.shade.protobuf.Message.Builder
        Overrides:
        clearOneof in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>

      • setRepeatedField

        public Onnx.ModelProto.Builder setRepeatedField​(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
                                                int index,
                                                Object value)
        Specified by:
        setRepeatedField in interface org.nd4j.shade.protobuf.Message.Builder
        Overrides:
        setRepeatedField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>

      • addRepeatedField

        public Onnx.ModelProto.Builder addRepeatedField​(org.nd4j.shade.protobuf.Descriptors.FieldDescriptor field,
                                                Object value)
        Specified by:
        addRepeatedField in interface org.nd4j.shade.protobuf.Message.Builder
        Overrides:
        addRepeatedField in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>

      • mergeFrom

        public Onnx.ModelProto.Builder mergeFrom​(org.nd4j.shade.protobuf.Message other)
        Specified by:
        mergeFrom in interface org.nd4j.shade.protobuf.Message.Builder
        Overrides:
        mergeFrom in class org.nd4j.shade.protobuf.AbstractMessage.Builder<Onnx.ModelProto.Builder>

      • isInitialized

        public final boolean isInitialized()
        Specified by:
        isInitialized in interface org.nd4j.shade.protobuf.MessageLiteOrBuilder
        Overrides:
        isInitialized in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>

      • mergeFrom

        public Onnx.ModelProto.Builder mergeFrom​(org.nd4j.shade.protobuf.CodedInputStream input,
                                         org.nd4j.shade.protobuf.ExtensionRegistryLite extensionRegistry)
                                  throws IOException
        Specified by:
        mergeFrom in interface org.nd4j.shade.protobuf.Message.Builder
        Specified by:
        mergeFrom in interface org.nd4j.shade.protobuf.MessageLite.Builder
        Overrides:
        mergeFrom in class org.nd4j.shade.protobuf.AbstractMessage.Builder<Onnx.ModelProto.Builder>
        Throws:
        IOException

      • getIrVersion

        public long getIrVersion()
         The version of the IR this model targets. See Version enum above.
 This field MUST be present.
        int64 ir_version = 1;
        Specified by:
        getIrVersion in interface Onnx.ModelProtoOrBuilder
        Returns:
        The irVersion.

      • setIrVersion

        public Onnx.ModelProto.Builder setIrVersion​(long value)
         The version of the IR this model targets. See Version enum above.
 This field MUST be present.
        int64 ir_version = 1;
        Parameters:
        value - The irVersion to set.
        Returns:
        This builder for chaining.

      • clearIrVersion

        public Onnx.ModelProto.Builder clearIrVersion()
         The version of the IR this model targets. See Version enum above.
 This field MUST be present.
        int64 ir_version = 1;
        Returns:
        This builder for chaining.

      • getOpsetImportList

        public List<Onnx.OperatorSetIdProto> getOpsetImportList()
         The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
        repeated .onnx.OperatorSetIdProto opset_import = 8;
        Specified by:
        getOpsetImportList in interface Onnx.ModelProtoOrBuilder

      • getOpsetImportCount

        public int getOpsetImportCount()
         The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
        repeated .onnx.OperatorSetIdProto opset_import = 8;
        Specified by:
        getOpsetImportCount in interface Onnx.ModelProtoOrBuilder

      • getOpsetImport

        public Onnx.OperatorSetIdProto getOpsetImport​(int index)
         The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
        repeated .onnx.OperatorSetIdProto opset_import = 8;
        Specified by:
        getOpsetImport in interface Onnx.ModelProtoOrBuilder

      • setOpsetImport

        public Onnx.ModelProto.Builder setOpsetImport​(int index,
                                              Onnx.OperatorSetIdProto value)
         The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
        repeated .onnx.OperatorSetIdProto opset_import = 8;

      • setOpsetImport

        public Onnx.ModelProto.Builder setOpsetImport​(int index,
                                              Onnx.OperatorSetIdProto.Builder builderForValue)
         The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
        repeated .onnx.OperatorSetIdProto opset_import = 8;

      • addOpsetImport

        public Onnx.ModelProto.Builder addOpsetImport​(Onnx.OperatorSetIdProto value)
         The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
        repeated .onnx.OperatorSetIdProto opset_import = 8;

      • addOpsetImport

        public Onnx.ModelProto.Builder addOpsetImport​(int index,
                                              Onnx.OperatorSetIdProto value)
         The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
        repeated .onnx.OperatorSetIdProto opset_import = 8;

      • addOpsetImport

        public Onnx.ModelProto.Builder addOpsetImport​(Onnx.OperatorSetIdProto.Builder builderForValue)
         The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
        repeated .onnx.OperatorSetIdProto opset_import = 8;

      • addOpsetImport

        public Onnx.ModelProto.Builder addOpsetImport​(int index,
                                              Onnx.OperatorSetIdProto.Builder builderForValue)
         The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
        repeated .onnx.OperatorSetIdProto opset_import = 8;

      • addAllOpsetImport

        public Onnx.ModelProto.Builder addAllOpsetImport​(Iterable<? extends Onnx.OperatorSetIdProto> values)
         The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
        repeated .onnx.OperatorSetIdProto opset_import = 8;

      • clearOpsetImport

        public Onnx.ModelProto.Builder clearOpsetImport()
         The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
        repeated .onnx.OperatorSetIdProto opset_import = 8;

      • removeOpsetImport

        public Onnx.ModelProto.Builder removeOpsetImport​(int index)
         The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
        repeated .onnx.OperatorSetIdProto opset_import = 8;

      • getOpsetImportBuilder

        public Onnx.OperatorSetIdProto.Builder getOpsetImportBuilder​(int index)
         The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
        repeated .onnx.OperatorSetIdProto opset_import = 8;

      • getOpsetImportOrBuilder

        public Onnx.OperatorSetIdProtoOrBuilder getOpsetImportOrBuilder​(int index)
         The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
        repeated .onnx.OperatorSetIdProto opset_import = 8;
        Specified by:
        getOpsetImportOrBuilder in interface Onnx.ModelProtoOrBuilder

      • getOpsetImportOrBuilderList

        public List<? extends Onnx.OperatorSetIdProtoOrBuilder> getOpsetImportOrBuilderList()
         The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
        repeated .onnx.OperatorSetIdProto opset_import = 8;
        Specified by:
        getOpsetImportOrBuilderList in interface Onnx.ModelProtoOrBuilder

      • addOpsetImportBuilder

        public Onnx.OperatorSetIdProto.Builder addOpsetImportBuilder()
         The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
        repeated .onnx.OperatorSetIdProto opset_import = 8;

      • addOpsetImportBuilder

        public Onnx.OperatorSetIdProto.Builder addOpsetImportBuilder​(int index)
         The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
        repeated .onnx.OperatorSetIdProto opset_import = 8;

      • getOpsetImportBuilderList

        public List<Onnx.OperatorSetIdProto.Builder> getOpsetImportBuilderList()
         The OperatorSets this model relies on.
 All ModelProtos MUST have at least one entry that
 specifies which version of the ONNX OperatorSet is
 being imported.
 All nodes in the ModelProto's graph will bind against the operator
 with the same-domain/same-op_type operator with the HIGHEST version
 in the referenced operator sets.
        repeated .onnx.OperatorSetIdProto opset_import = 8;

      • getProducerName

        public String getProducerName()
         The name of the framework or tool used to generate this model.
 This field SHOULD be present to indicate which implementation/tool/framework
 emitted the model.
        string producer_name = 2;
        Specified by:
        getProducerName in interface Onnx.ModelProtoOrBuilder
        Returns:
        The producerName.

      • getProducerNameBytes

        public org.nd4j.shade.protobuf.ByteString getProducerNameBytes()
         The name of the framework or tool used to generate this model.
 This field SHOULD be present to indicate which implementation/tool/framework
 emitted the model.
        string producer_name = 2;
        Specified by:
        getProducerNameBytes in interface Onnx.ModelProtoOrBuilder
        Returns:
        The bytes for producerName.

      • setProducerName

        public Onnx.ModelProto.Builder setProducerName​(String value)
         The name of the framework or tool used to generate this model.
 This field SHOULD be present to indicate which implementation/tool/framework
 emitted the model.
        string producer_name = 2;
        Parameters:
        value - The producerName to set.
        Returns:
        This builder for chaining.

      • clearProducerName

        public Onnx.ModelProto.Builder clearProducerName()
         The name of the framework or tool used to generate this model.
 This field SHOULD be present to indicate which implementation/tool/framework
 emitted the model.
        string producer_name = 2;
        Returns:
        This builder for chaining.

      • setProducerNameBytes

        public Onnx.ModelProto.Builder setProducerNameBytes​(org.nd4j.shade.protobuf.ByteString value)
         The name of the framework or tool used to generate this model.
 This field SHOULD be present to indicate which implementation/tool/framework
 emitted the model.
        string producer_name = 2;
        Parameters:
        value - The bytes for producerName to set.
        Returns:
        This builder for chaining.

      • getProducerVersion

        public String getProducerVersion()
         The version of the framework or tool used to generate this model.
 This field SHOULD be present to indicate which implementation/tool/framework
 emitted the model.
        string producer_version = 3;
        Specified by:
        getProducerVersion in interface Onnx.ModelProtoOrBuilder
        Returns:
        The producerVersion.

      • getProducerVersionBytes

        public org.nd4j.shade.protobuf.ByteString getProducerVersionBytes()
         The version of the framework or tool used to generate this model.
 This field SHOULD be present to indicate which implementation/tool/framework
 emitted the model.
        string producer_version = 3;
        Specified by:
        getProducerVersionBytes in interface Onnx.ModelProtoOrBuilder
        Returns:
        The bytes for producerVersion.

      • setProducerVersion

        public Onnx.ModelProto.Builder setProducerVersion​(String value)
         The version of the framework or tool used to generate this model.
 This field SHOULD be present to indicate which implementation/tool/framework
 emitted the model.
        string producer_version = 3;
        Parameters:
        value - The producerVersion to set.
        Returns:
        This builder for chaining.

      • clearProducerVersion

        public Onnx.ModelProto.Builder clearProducerVersion()
         The version of the framework or tool used to generate this model.
 This field SHOULD be present to indicate which implementation/tool/framework
 emitted the model.
        string producer_version = 3;
        Returns:
        This builder for chaining.

      • setProducerVersionBytes

        public Onnx.ModelProto.Builder setProducerVersionBytes​(org.nd4j.shade.protobuf.ByteString value)
         The version of the framework or tool used to generate this model.
 This field SHOULD be present to indicate which implementation/tool/framework
 emitted the model.
        string producer_version = 3;
        Parameters:
        value - The bytes for producerVersion to set.
        Returns:
        This builder for chaining.

      • getDomain

        public String getDomain()
         Domain name of the model.
 We use reverse domain names as name space indicators. For example:
 `com.facebook.fair` or `com.microsoft.cognitiveservices`
 Together with `model_version` and GraphProto.name, this forms the unique identity of
 the graph.
        string domain = 4;
        Specified by:
        getDomain in interface Onnx.ModelProtoOrBuilder
        Returns:
        The domain.

      • getDomainBytes

        public org.nd4j.shade.protobuf.ByteString getDomainBytes()
         Domain name of the model.
 We use reverse domain names as name space indicators. For example:
 `com.facebook.fair` or `com.microsoft.cognitiveservices`
 Together with `model_version` and GraphProto.name, this forms the unique identity of
 the graph.
        string domain = 4;
        Specified by:
        getDomainBytes in interface Onnx.ModelProtoOrBuilder
        Returns:
        The bytes for domain.

      • setDomain

        public Onnx.ModelProto.Builder setDomain​(String value)
         Domain name of the model.
 We use reverse domain names as name space indicators. For example:
 `com.facebook.fair` or `com.microsoft.cognitiveservices`
 Together with `model_version` and GraphProto.name, this forms the unique identity of
 the graph.
        string domain = 4;
        Parameters:
        value - The domain to set.
        Returns:
        This builder for chaining.

      • clearDomain

        public Onnx.ModelProto.Builder clearDomain()
         Domain name of the model.
 We use reverse domain names as name space indicators. For example:
 `com.facebook.fair` or `com.microsoft.cognitiveservices`
 Together with `model_version` and GraphProto.name, this forms the unique identity of
 the graph.
        string domain = 4;
        Returns:
        This builder for chaining.

      • setDomainBytes

        public Onnx.ModelProto.Builder setDomainBytes​(org.nd4j.shade.protobuf.ByteString value)
         Domain name of the model.
 We use reverse domain names as name space indicators. For example:
 `com.facebook.fair` or `com.microsoft.cognitiveservices`
 Together with `model_version` and GraphProto.name, this forms the unique identity of
 the graph.
        string domain = 4;
        Parameters:
        value - The bytes for domain to set.
        Returns:
        This builder for chaining.

      • getModelVersion

        public long getModelVersion()
         The version of the graph encoded. See Version enum below.
        int64 model_version = 5;
        Specified by:
        getModelVersion in interface Onnx.ModelProtoOrBuilder
        Returns:
        The modelVersion.

      • setModelVersion

        public Onnx.ModelProto.Builder setModelVersion​(long value)
         The version of the graph encoded. See Version enum below.
        int64 model_version = 5;
        Parameters:
        value - The modelVersion to set.
        Returns:
        This builder for chaining.

      • clearModelVersion

        public Onnx.ModelProto.Builder clearModelVersion()
         The version of the graph encoded. See Version enum below.
        int64 model_version = 5;
        Returns:
        This builder for chaining.

      • getDocString

        public String getDocString()
         A human-readable documentation for this model. Markdown is allowed.
        string doc_string = 6;
        Specified by:
        getDocString in interface Onnx.ModelProtoOrBuilder
        Returns:
        The docString.

      • getDocStringBytes

        public org.nd4j.shade.protobuf.ByteString getDocStringBytes()
         A human-readable documentation for this model. Markdown is allowed.
        string doc_string = 6;
        Specified by:
        getDocStringBytes in interface Onnx.ModelProtoOrBuilder
        Returns:
        The bytes for docString.

      • setDocString

        public Onnx.ModelProto.Builder setDocString​(String value)
         A human-readable documentation for this model. Markdown is allowed.
        string doc_string = 6;
        Parameters:
        value - The docString to set.
        Returns:
        This builder for chaining.

      • clearDocString

        public Onnx.ModelProto.Builder clearDocString()
         A human-readable documentation for this model. Markdown is allowed.
        string doc_string = 6;
        Returns:
        This builder for chaining.

      • setDocStringBytes

        public Onnx.ModelProto.Builder setDocStringBytes​(org.nd4j.shade.protobuf.ByteString value)
         A human-readable documentation for this model. Markdown is allowed.
        string doc_string = 6;
        Parameters:
        value - The bytes for docString to set.
        Returns:
        This builder for chaining.

      • hasGraph

        public boolean hasGraph()
         The parameterized graph that is evaluated to execute the model.
        .onnx.GraphProto graph = 7;
        Specified by:
        hasGraph in interface Onnx.ModelProtoOrBuilder
        Returns:
        Whether the graph field is set.

      • clearGraph

        public Onnx.ModelProto.Builder clearGraph()
         The parameterized graph that is evaluated to execute the model.
        .onnx.GraphProto graph = 7;

      • getGraphBuilder

        public Onnx.GraphProto.Builder getGraphBuilder()
         The parameterized graph that is evaluated to execute the model.
        .onnx.GraphProto graph = 7;

      • getMetadataPropsCount

        public int getMetadataPropsCount()
         Named metadata values; keys should be distinct.
        repeated .onnx.StringStringEntryProto metadata_props = 14;
        Specified by:
        getMetadataPropsCount in interface Onnx.ModelProtoOrBuilder

      • clearMetadataProps

        public Onnx.ModelProto.Builder clearMetadataProps()
         Named metadata values; keys should be distinct.
        repeated .onnx.StringStringEntryProto metadata_props = 14;

      • removeMetadataProps

        public Onnx.ModelProto.Builder removeMetadataProps​(int index)
         Named metadata values; keys should be distinct.
        repeated .onnx.StringStringEntryProto metadata_props = 14;

      • getMetadataPropsBuilder

        public Onnx.StringStringEntryProto.Builder getMetadataPropsBuilder​(int index)
         Named metadata values; keys should be distinct.
        repeated .onnx.StringStringEntryProto metadata_props = 14;

      • addMetadataPropsBuilder

        public Onnx.StringStringEntryProto.Builder addMetadataPropsBuilder()
         Named metadata values; keys should be distinct.
        repeated .onnx.StringStringEntryProto metadata_props = 14;

      • addMetadataPropsBuilder

        public Onnx.StringStringEntryProto.Builder addMetadataPropsBuilder​(int index)
         Named metadata values; keys should be distinct.
        repeated .onnx.StringStringEntryProto metadata_props = 14;

      • getMetadataPropsBuilderList

        public List<Onnx.StringStringEntryProto.Builder> getMetadataPropsBuilderList()
         Named metadata values; keys should be distinct.
        repeated .onnx.StringStringEntryProto metadata_props = 14;

      • getTrainingInfoList

        public List<Onnx.TrainingInfoProto> getTrainingInfoList()
         Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
        repeated .onnx.TrainingInfoProto training_info = 20;
        Specified by:
        getTrainingInfoList in interface Onnx.ModelProtoOrBuilder

      • getTrainingInfoCount

        public int getTrainingInfoCount()
         Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
        repeated .onnx.TrainingInfoProto training_info = 20;
        Specified by:
        getTrainingInfoCount in interface Onnx.ModelProtoOrBuilder

      • getTrainingInfo

        public Onnx.TrainingInfoProto getTrainingInfo​(int index)
         Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
        repeated .onnx.TrainingInfoProto training_info = 20;
        Specified by:
        getTrainingInfo in interface Onnx.ModelProtoOrBuilder

      • setTrainingInfo

        public Onnx.ModelProto.Builder setTrainingInfo​(int index,
                                               Onnx.TrainingInfoProto value)
         Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
        repeated .onnx.TrainingInfoProto training_info = 20;

      • setTrainingInfo

        public Onnx.ModelProto.Builder setTrainingInfo​(int index,
                                               Onnx.TrainingInfoProto.Builder builderForValue)
         Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
        repeated .onnx.TrainingInfoProto training_info = 20;

      • addTrainingInfo

        public Onnx.ModelProto.Builder addTrainingInfo​(Onnx.TrainingInfoProto value)
         Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
        repeated .onnx.TrainingInfoProto training_info = 20;

      • addTrainingInfo

        public Onnx.ModelProto.Builder addTrainingInfo​(int index,
                                               Onnx.TrainingInfoProto value)
         Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
        repeated .onnx.TrainingInfoProto training_info = 20;

      • addTrainingInfo

        public Onnx.ModelProto.Builder addTrainingInfo​(Onnx.TrainingInfoProto.Builder builderForValue)
         Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
        repeated .onnx.TrainingInfoProto training_info = 20;

      • addTrainingInfo

        public Onnx.ModelProto.Builder addTrainingInfo​(int index,
                                               Onnx.TrainingInfoProto.Builder builderForValue)
         Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
        repeated .onnx.TrainingInfoProto training_info = 20;

      • addAllTrainingInfo

        public Onnx.ModelProto.Builder addAllTrainingInfo​(Iterable<? extends Onnx.TrainingInfoProto> values)
         Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
        repeated .onnx.TrainingInfoProto training_info = 20;

      • clearTrainingInfo

        public Onnx.ModelProto.Builder clearTrainingInfo()
         Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
        repeated .onnx.TrainingInfoProto training_info = 20;

      • removeTrainingInfo

        public Onnx.ModelProto.Builder removeTrainingInfo​(int index)
         Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
        repeated .onnx.TrainingInfoProto training_info = 20;

      • getTrainingInfoBuilder

        public Onnx.TrainingInfoProto.Builder getTrainingInfoBuilder​(int index)
         Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
        repeated .onnx.TrainingInfoProto training_info = 20;

      • getTrainingInfoOrBuilder

        public Onnx.TrainingInfoProtoOrBuilder getTrainingInfoOrBuilder​(int index)
         Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
        repeated .onnx.TrainingInfoProto training_info = 20;
        Specified by:
        getTrainingInfoOrBuilder in interface Onnx.ModelProtoOrBuilder

      • getTrainingInfoOrBuilderList

        public List<? extends Onnx.TrainingInfoProtoOrBuilder> getTrainingInfoOrBuilderList()
         Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
        repeated .onnx.TrainingInfoProto training_info = 20;
        Specified by:
        getTrainingInfoOrBuilderList in interface Onnx.ModelProtoOrBuilder

      • addTrainingInfoBuilder

        public Onnx.TrainingInfoProto.Builder addTrainingInfoBuilder()
         Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
        repeated .onnx.TrainingInfoProto training_info = 20;

      • addTrainingInfoBuilder

        public Onnx.TrainingInfoProto.Builder addTrainingInfoBuilder​(int index)
         Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
        repeated .onnx.TrainingInfoProto training_info = 20;

      • getTrainingInfoBuilderList

        public List<Onnx.TrainingInfoProto.Builder> getTrainingInfoBuilderList()
         Training-specific information. Sequentially executing all stored
 `TrainingInfoProto.algorithm`s and assigning their outputs following
 the corresponding `TrainingInfoProto.update_binding`s is one training
 iteration. Similarly, to initialize the model
 (as if training hasn't happened), the user should sequentially execute
 all stored `TrainingInfoProto.initialization`s and assigns their outputs
 using `TrainingInfoProto.initialization_binding`s.
 If this field is empty, the training behavior of the model is undefined.
        repeated .onnx.TrainingInfoProto training_info = 20;

      • getFunctionsList

        public List<Onnx.FunctionProto> getFunctionsList()
         A list of function protos local to the model.
 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard opserator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.
 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.
 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
        repeated .onnx.FunctionProto functions = 25;
        Specified by:
        getFunctionsList in interface Onnx.ModelProtoOrBuilder

      • getFunctionsCount

        public int getFunctionsCount()
         A list of function protos local to the model.
 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard opserator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.
 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.
 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
        repeated .onnx.FunctionProto functions = 25;
        Specified by:
        getFunctionsCount in interface Onnx.ModelProtoOrBuilder

      • getFunctions

        public Onnx.FunctionProto getFunctions​(int index)
         A list of function protos local to the model.
 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard opserator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.
 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.
 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
        repeated .onnx.FunctionProto functions = 25;
        Specified by:
        getFunctions in interface Onnx.ModelProtoOrBuilder

      • setFunctions

        public Onnx.ModelProto.Builder setFunctions​(int index,
                                            Onnx.FunctionProto value)
         A list of function protos local to the model.
 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard opserator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.
 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.
 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
        repeated .onnx.FunctionProto functions = 25;

      • setFunctions

        public Onnx.ModelProto.Builder setFunctions​(int index,
                                            Onnx.FunctionProto.Builder builderForValue)
         A list of function protos local to the model.
 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard opserator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.
 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.
 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
        repeated .onnx.FunctionProto functions = 25;

      • addFunctions

        public Onnx.ModelProto.Builder addFunctions​(Onnx.FunctionProto value)
         A list of function protos local to the model.
 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard opserator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.
 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.
 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
        repeated .onnx.FunctionProto functions = 25;

      • addFunctions

        public Onnx.ModelProto.Builder addFunctions​(int index,
                                            Onnx.FunctionProto value)
         A list of function protos local to the model.
 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard opserator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.
 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.
 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
        repeated .onnx.FunctionProto functions = 25;

      • addFunctions

        public Onnx.ModelProto.Builder addFunctions​(Onnx.FunctionProto.Builder builderForValue)
         A list of function protos local to the model.
 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard opserator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.
 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.
 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
        repeated .onnx.FunctionProto functions = 25;

      • addFunctions

        public Onnx.ModelProto.Builder addFunctions​(int index,
                                            Onnx.FunctionProto.Builder builderForValue)
         A list of function protos local to the model.
 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard opserator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.
 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.
 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
        repeated .onnx.FunctionProto functions = 25;

      • addAllFunctions

        public Onnx.ModelProto.Builder addAllFunctions​(Iterable<? extends Onnx.FunctionProto> values)
         A list of function protos local to the model.
 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard opserator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.
 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.
 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
        repeated .onnx.FunctionProto functions = 25;

      • clearFunctions

        public Onnx.ModelProto.Builder clearFunctions()
         A list of function protos local to the model.
 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard opserator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.
 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.
 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
        repeated .onnx.FunctionProto functions = 25;

      • removeFunctions

        public Onnx.ModelProto.Builder removeFunctions​(int index)
         A list of function protos local to the model.
 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard opserator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.
 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.
 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
        repeated .onnx.FunctionProto functions = 25;

      • getFunctionsBuilder

        public Onnx.FunctionProto.Builder getFunctionsBuilder​(int index)
         A list of function protos local to the model.
 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard opserator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.
 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.
 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
        repeated .onnx.FunctionProto functions = 25;

      • getFunctionsOrBuilder

        public Onnx.FunctionProtoOrBuilder getFunctionsOrBuilder​(int index)
         A list of function protos local to the model.
 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard opserator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.
 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.
 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
        repeated .onnx.FunctionProto functions = 25;
        Specified by:
        getFunctionsOrBuilder in interface Onnx.ModelProtoOrBuilder

      • getFunctionsOrBuilderList

        public List<? extends Onnx.FunctionProtoOrBuilder> getFunctionsOrBuilderList()
         A list of function protos local to the model.
 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard opserator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.
 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.
 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
        repeated .onnx.FunctionProto functions = 25;
        Specified by:
        getFunctionsOrBuilderList in interface Onnx.ModelProtoOrBuilder

      • addFunctionsBuilder

        public Onnx.FunctionProto.Builder addFunctionsBuilder()
         A list of function protos local to the model.
 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard opserator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.
 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.
 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
        repeated .onnx.FunctionProto functions = 25;

      • addFunctionsBuilder

        public Onnx.FunctionProto.Builder addFunctionsBuilder​(int index)
         A list of function protos local to the model.
 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard opserator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.
 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.
 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
        repeated .onnx.FunctionProto functions = 25;

      • getFunctionsBuilderList

        public List<Onnx.FunctionProto.Builder> getFunctionsBuilderList()
         A list of function protos local to the model.
 Name of the function "FunctionProto.name" should be unique within the domain "FunctionProto.domain".
 In case of any conflicts the behavior (whether the model local functions are given higher priority,
 or standard opserator sets are given higher priotity or this is treated as error) is defined by
 the runtimes.
 The operator sets imported by FunctionProto should be compatible with the ones
 imported by ModelProto and other model local FunctionProtos.
 Example, if same operator set say 'A' is imported by a FunctionProto and ModelProto
 or by 2 FunctionProtos then versions for the operator set may be different but,
 the operator schema returned for op_type, domain, version combination
 for both the versions should be same for every node in the function body.
 One FunctionProto can reference other FunctionProto in the model, however, recursive reference
 is not allowed.
        repeated .onnx.FunctionProto functions = 25;

      • setUnknownFields

        public final Onnx.ModelProto.Builder setUnknownFields​(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        setUnknownFields in interface org.nd4j.shade.protobuf.Message.Builder
        Overrides:
        setUnknownFields in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>

      • mergeUnknownFields

        public final Onnx.ModelProto.Builder mergeUnknownFields​(org.nd4j.shade.protobuf.UnknownFieldSet unknownFields)
        Specified by:
        mergeUnknownFields in interface org.nd4j.shade.protobuf.Message.Builder
        Overrides:
        mergeUnknownFields in class org.nd4j.shade.protobuf.GeneratedMessageV3.Builder<Onnx.ModelProto.Builder>